public class QNModel extends AbstractModel
AbstractModel.ModelType| Constructor and Description |
|---|
QNModel(Context[] params,
String[] predLabels,
String[] outcomeNames) |
| Modifier and Type | Method and Description |
|---|---|
boolean |
equals(Object obj) |
static double[] |
eval(int[] context,
float[] values,
double[] probs,
int nOutcomes,
int nPredLabels,
double[] parameters)
Model evaluation which should be used during training to report model accuracy.
|
double[] |
eval(String[] context)
Evaluates a context.
|
double[] |
eval(String[] context,
double[] probs)
Evaluates a context.
|
double[] |
eval(String[] context,
float[] values)
Evaluates a contexts with the specified context values.
|
int |
getNumOutcomes()
Returns the number of outcomes for this model.
|
getAllOutcomes, getBestOutcome, getDataStructures, getIndex, getModelType, getOutcomepublic int getNumOutcomes()
MaxentModelgetNumOutcomes in interface MaxentModelgetNumOutcomes in class AbstractModelpublic double[] eval(String[] context)
MaxentModelcontext - A list of String names of the contextual predicates
which are to be evaluated together.public double[] eval(String[] context, double[] probs)
MaxentModelcontext - A list of String names of the contextual predicates
which are to be evaluated together.probs - An array which is populated with the probabilities for each of the different
outcomes, all of which sum to 1.public double[] eval(String[] context, float[] values)
MaxentModelcontext - A list of String names of the contextual predicates
which are to be evaluated together.values - The values associated with each context.public static double[] eval(int[] context,
float[] values,
double[] probs,
int nOutcomes,
int nPredLabels,
double[] parameters)
context - Indices of the predicates which have been observed at the present
decision point.values - Weights of the predicates which have been observed at
the present decision point.probs - Probability for outcomesnOutcomes - Number of outcomesnPredLabels - Number of unique predicatesparameters - Model parametersCopyright © 2015 The Apache Software Foundation. All rights reserved.